Overflow probability of variable-length codes allowing non-vanishing error probability

Ryo Nomura, Hideki Yagi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The variable-length coding problem allowing the error probability up to some constant is considered for general sources. In this problem, we focus on the overflow (or excess codeword length) probability We also consider another expression of our general formula so as to reveal the relationship with the optimum coding rate in the fixed-length source coding problem.

Original languageEnglish
Title of host publication2017 IEEE Information Theory Workshop, ITW 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages589-593
Number of pages5
ISBN (Electronic)9781509030972
DOIs
Publication statusPublished - 2018 Jan 31
Externally publishedYes
Event2017 IEEE Information Theory Workshop, ITW 2017 - Kaohsiung, Taiwan, Province of China
Duration: 2017 Nov 62017 Nov 10

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2018-January
ISSN (Print)2157-8095

Conference

Conference2017 IEEE Information Theory Workshop, ITW 2017
CountryTaiwan, Province of China
CityKaohsiung
Period17/11/617/11/10

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

Cite this

Nomura, R., & Yagi, H. (2018). Overflow probability of variable-length codes allowing non-vanishing error probability. In 2017 IEEE Information Theory Workshop, ITW 2017 (pp. 589-593). (IEEE International Symposium on Information Theory - Proceedings; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITW.2017.8277930